Note: The job is a remote job and is open to candidates in USA. Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. They are seeking an accomplished Staff Software Engineer to join their Machine Learning Platform team, focusing on building the AI and ML infrastructure that powers their product suite.

Responsibilities

• Setting Technical Direction - Architect ML platform strategy spanning data pipelines, training infrastructure, and serving layers using cutting-edge tooling like Ray, MLFlow, Metaflow, Argo, and Spark
• Uplevel and Innovate Core AI & ML Stack - Build and operate production-grade, low-latency ML serving layers with robust model lifecycle systems including champion/challenger testing, automated rollouts, versioning, and rollback capabilities
• Uplevel and Innovate Core AI & ML Stack - Define and drive Attentive’s agentic stack
• Technical Leadership - Provide ML infrastructure perspective in high-level discussions about Attentive’s AI strategy spanning multiple quarters and teams
• Technical Mentorship - Mentor platform and ML engineers, actively championing team members
• Being the “Glue” - Build universal interfaces, architectures, and patterns—like data access layers and prediction serving APIs—that bridge platform capabilities with product needs to streamline high-priority ML work across the organization

Skills

• 5+ years focused specifically on ML Platform/MLOps, with deep understanding of gold-standard practices and best-in-class tooling
• Proven track record of owning and building core components of ML platforms using tools like Spark, Ray, MLFlow, Kubeflow, or Metaflow
• Strong expertise in Python for both batch processing and online service frameworks
• Experience designing and operating online and offline inference systems, understanding the critical differences and tradeoffs between them
• You have the experience to know what works, what doesn't, and why in AI and ML systems
• You've built and operated a high-throughput agentic stack (MCP / data infrastructure, context store, orchestration, and prompt layer)

Benefits

• Competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work
• Equity
• Benefits

Company Overview

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